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Interface turns handwriting brain signals into text


As reported in the journal
Nature, a clinical trial participant with cervical spinal cord injury used the system to “type” words on a computer at a rate of 90 characters per minute, more than double the previous record for typing with a brain-computer interface. The participant had to merely think about the hand motions involved in creating written letters to complete the task.
The research team is hopeful that such a system could one day help to restore people’s ability to communicate following paralysis caused by injury or illness.
A clinical trial participant created these letters on a computer screen just by thinking about the act of moving his arm and hand to write. (Credit: BrainGate.org) ....

United States , Leigh Hochberg , Krishna Shenoy , Frank Willett , Jaimie Henderson , Brown University School Of Engineering , Us Department Of Veterans Affairs , Brown University , National Institute Of Neurological Disorders , Wu Tsai Neurosciences Institute At Stanford , Harvard Medical School , Development Center , National Institute On Deafness , Providence Va Medical Center , Simons Foundation Collaboration , Veterans Affairs Providence Healthcare System , Carney Institute For Brain Science , Va Rehabilitation Research , Stanford University , Case Western Reserve University , Howard Hughes Medical Institute , Carney Institute , Massachusetts General Hospital , Veterans Affairs Providence Healthcare , Case Western Reserve , National Institute ,

Brain-computer interface creates text by decoding brain signals associated with handwriting


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IMAGE: As part of the BrainGate clinical trial, researchers are using tiny electrode arrays to record signals from the motor cortex of the brain. Those signals can then be used to.
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Credit: BrainGate.org
PROVIDENCE, R.I. [Brown University] Researchers with the BrainGate collaboration have, for the first time, used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
In a study published in the journal
Nature, a clinical trial participant with cervical spinal cord injury used the system to type words on a computer at a rate of 90 characters per minute, more than double the previous record for typing with a brain-computer interface. This was done by the participant merely thinking about the hand motions involved in creating written letters. ....

United States , Leigh Hochberg , Krishna Shenoy , Frank Willett , Jaimie Henderson , Wu Tsai Neurosciences Institute At Stanford , Brown University School Of Engineering , Harvard Medical School , National Institute On Deafness , Providence Va Medical Center , Simons Foundation Collaboration , Veterans Affairs Providence Healthcare System , Us Department Of Veterans Affairs , Carney Institute For Brain Science , Brown University , Va Rrd Center , Case Western Reserve University , Stanford University , National Institute Of Neurological Disorders , Howard Hughes Medical Institute , Carney Institute , Massachusetts General Hospital , Veterans Affairs Providence Healthcare , Case Western Reserve , National Institute , Neurological Disorders ,

Composing thoughts: Mental handwriting produces brain activity turned into text


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IMAGE: Two implanted electrode arrays record the brain activity produced by thinking about writing letters. This information is then collected and processed in real-time by a computer, which converts that data.
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Credit: Image courtesy of Shenoy lab & Erika Woodrum (artist)
Scientists have developed a brain-computer interface (BCI) designed to restore the ability to communicate in people with spinal cord injuries and neurological disorders such as amyotrophic lateral sclerosis (ALS). This system has the potential to work more quickly than previous BCIs, and it does so by tapping into one of the oldest means of communications we have handwriting. ....

United States , John Ngai , Hong Seh , Leigh Hochberg , Krishna Shenoy , Frank Willett , Jaimie Henderson , National Institute On Drug Abuse , National Institute On , Henderson At Stanford University , Us Department Of Veterans Affairs , National Institute Of Biomedical Imaging , National Institute Of Mental Health , National Eye Institute , Research Scientist At Stanford University , Brown University , National Institute Of Neurological Disorders , Human Development , Wu Tsai Neurosciences Institute At Stanford University , National Center , National Institutes Of Health , Human Services , Us Department Of Health , National Institute On Deafness , Integrative Health , Simons Foundation Collaboration ,

ACM CONFERENCE SHOWCASES RESEARCH ON FAIRNESS, ACCOUNTABILITY AND TRANSPARENCY IN ALGORITHMIC SYSTEMS


Discussant: Mary Gray, Senior Principal Researcher at Microsoft Research
Yeshimabeit Milner is the Founder & Executive Director of Data for Black Lives. She has worked since she was 17 behind the scenes as a movement builder, technologist and data scientist on a number of campaigns. She started Data for Black Lives because for too long she straddled the worlds of data and organizing and was determined to break down the silos to harness the power of data to make change in the lives of Black people. In two years, Data for Black Lives has raised over $3 million, hosted two sold out conferences at the MIT Media Lab and has changed the conversation around big data & technology across the US and globally. As the founder of Data for Black Lives, her work has received much acclaim. Yeshimabeit is an Echoing Green Black Male Achievement Fellow, an Ashoka Fellow and joins the founders of Black Lives Matter and Occupy Wall Street in the distinguished inaugural class of Roddenberry Founda ....

New York , United States , Columbia University , Cornell University , Hebrew University , Julia Angwin , William Isaac , Katrina Ligett , Madeleine Clare Elish , Sasha Costanza , Suresh Venkatasubramanian , Mary Gray , Richard Zemel , Issa Kohler Hausmannkosuke Yale , Marzyeh Ghassemi , Yeshimabeit Milner , Kouske Imai Harvard , Ada Lovelace Institute , School Of Business At Columbia University , Simons Institute , Association For Computing Machinery , Google Research , Georgetown University , Darpa Us Air , University Of Chicago , Vector Institute For Artificial Intelligence ,